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Localization Coverage — Trailing Mean Series + Keyed Dataset Comparison
x402
Localization Coverage — Trailing Mean Series + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes a trailing mean time series and a keyed dataset comparison for localization coverage records (source_strings, translated_strings) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Localization coverage — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison for supplied localization coverage records (source_strings, translated_strings). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) a trailing mean time series computed over the selected field (source_strings or translated_strings) across the supplied rows, and (2) a keyed dataset comparison between the primary rows dataset and the secondary 'other' dataset, grouped by game_area. Results are computed locally with no external lookups.
Example use cases
Sprint-over-sprint localization trend analysis
“I have localization coverage records for two sprints — each with game_area, date, source_strings, and translated_strings for up to 150 rows. Can you compute the trailing mean of translated_strings over time and compare the two sprints side by side to see if translation coverage improved?”
Game area translation gap comparison
“Run a keyed dataset comparison on my two localization datasets — one from last month and one from this month — both have game_area, date, source_strings, and translated_strings columns. I want to see which game areas have the biggest differences in source_strings between the two periods.”
Localization coverage moving average for QA reporting
“I need a trailing mean series for translated_strings across my game's localization records — I have about 200 rows with dates ranging over the past quarter broken down by game_area. Can you generate that alongside a comparison against our target coverage dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-18-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series and a side-by-side keyed comparison for localization coverage data (source_strings and translated_strings) in a single call. It is purpose-built for game localization analytics and covers two reports in one request at low cost, making it ideal for sprint reviews or QA reporting workflows where no external data lookup or prediction is needed.
Side effects
- Missing required fields (row_id, game_area, date, source_strings, translated_strings) causes validation error
- Exceeding 200 rows in either dataset returns an error
- Invalid date format (non YYYY-MM-DD) causes rejection
- Null values in numeric fields may affect trailing mean computation
- Invalid 'field' enum value causes schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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